Step1: Importing Libraries

import speech_recognition as sr
import os
import IPython.display as ipd
import pandas as pd

Step2: Extracting Path of Normal Instances

normal_path = ('sample-audios/Normal')
normal_sample_data = [os.path.join(dp, f) for dp, dn, filenames in os.walk(normal_path) for f in filenames if os.path.splitext(f)[1] == '.wav']
normal_sample_data

['sample-audios/Normal\\Normal (95).wav',
 'sample-audios/Normal\\Normal (96).wav',
 'sample-audios/Normal\\Normal (97).wav',
 'sample-audios/Normal\\Normal (98).wav',
 'sample-audios/Normal\\Normal (99).wav']

Step3: Extracting Path of Toxic Instances

toxic_path = ('sample-audios/Toxic')
toxic_sample_data = [os.path.join(dp, f) for dp, dn, filenames in os.walk(toxic_path) for f in filenames if os.path.splitext(f)[1] == '.wav']
toxic_sample_data

['sample-audios/Toxic\\Toxic (95).wav',
 'sample-audios/Toxic\\Toxic (96).wav',
 'sample-audios/Toxic\\Toxic (97).wav',
 'sample-audios/Toxic\\Toxic (98).wav',
 'sample-audios/Toxic\\Toxic (99).wav']

Step4: Transcribing Normal Instances

#Transcribing sample Urdu Audio Toxic 
#====================================
transcription_record=[]
recognizer = sr.Recognizer()
recognizer.energy_threshold = 300
for i in range(len(toxic_sample_data)):
    print("Type: \n\tToxic\n")
    ipd.display(ipd.Audio(toxic_sample_data[i]))
    #Read Audio File
    sample_file = sr.AudioFile(f'{toxic_sample_data[i]}')

    #Convert AudioFile to AudioData
    with sample_file as source:
        #record the audio
        sample_audio = recognizer.record(source)

    #Transcribing urduSpeech_audio
    transcription = recognizer.recognize_google(audio_data=sample_audio, language="en-US")
    print(toxic_sample_data[i] + ',' + transcription)
    transcription_record.append(transcription)
    
    

Type: 
	Toxic

sample-audios/Toxic\Toxic (95).wav,kya bolun Main Nahin matlab kya bulwana kya chahte ho bhai Banda Salam Kar Raha Hai Dua de raha hai koi return hi nahin a Raha Nahin to Fir kya bole Banda Koi Awaaz hi nahin a Rahi tumhara mobile mobile ko bhai
Type: 
	Toxic

sample-audios/Toxic\Toxic (96).wav,Tumne to Mujhe Pagal samjha hai ki main tumhari baat hai main a Jaunga
Type: 
	Toxic

sample-audios/Toxic\Toxic (97).wav,Kasur Tera nahin tum University jagna mummy daddy baccha ban gaya
Type: 
	Toxic

sample-audios/Toxic\Toxic (98).wav,mujhe nahin Pata Tha ki tum meri feelings ke sath Is Tarah ko Khel Ho Gaya laddu Mein Puche Tumhe Barbad Karega idiot
Type: 
	Toxic

sample-audios/Toxic\Toxic (99).wav,Rajasthan Rajasthan to bada Calcutta Jayegi Deepak Ke Liye Koi tamiz Koi real Koi Aaya hi nahi Naat

column_names = ["Transcription"]
Transcription_file_toxic = pd.DataFrame(transcription_record, columns = column_names)
Transcription_file_toxic["Type"]="Toxic"
Transcription_file_toxic 

	Transcription	Type
0	kya bolun Main Nahin matlab kya bulwana kya ch...	Toxic
1	Tumne to Mujhe Pagal samjha hai ki main tumhar...	Toxic
2	Kasur Tera nahin tum University jagna mummy da...	Toxic
3	mujhe nahin Pata Tha ki tum meri feelings ke s...	Toxic
4	Rajasthan Rajasthan to bada Calcutta Jayegi De...	Toxic

Step5: Transcribing Toxic Instances

#Transcribing sample Urdu Audio Toxic 
#====================================
transcription_record=[]
for i in range(len(normal_sample_data)):
    
    print("Type: \n\tNormal\n")
    ipd.display(ipd.Audio(normal_sample_data[i]))
    #Read Audio File
    sample_file = sr.AudioFile(f'{normal_sample_data[i]}')

    #Convert AudioFile to AudioData
    with sample_file as source:
        #record the audio
        sample_audio = recognizer.record(source)

    #Transcribing urduSpeech_audio
    transcription = recognizer.recognize_google(audio_data=sample_audio, language="en-US")
    print(normal_sample_data[i] + ',' + transcription)
    transcription_record.append(transcription)

Type: 
	Normal

sample-audios/Normal\Normal (95).wav,Mujhe include Na Karo Aisa Kuchh Bhi Nahin Hai Main Nahin aaungi
Type: 
	Normal

sample-audios/Normal\Normal (96).wav,annual party to December Mein Nahin Hoti abhi to November chal raha hai December 14 15 16 date Mein hoti hai
Type: 
	Normal

sample-audios/Normal\Normal (97).wav,aap to participate kar
Type: 
	Normal

sample-audios/Normal\Normal (98).wav,Maine pahle message Nahin pahle Mujhe yahan se batao like Nind a rahi hai
Type: 
	Normal

sample-audios/Normal\Normal (99).wav,yah chal kya raha hai

column_names = ["Transcription"]
Transcription_file_normal = pd.DataFrame(transcription_record, columns = column_names)
Transcription_file_normal ["Type"]="Normal"
Transcription_file_normal

	Transcription	Type
0	Mujhe include Na Karo Aisa Kuchh Bhi Nahin Hai...	Normal
1	annual party to December Mein Nahin Hoti abhi ...	Normal
2	aap to participate kar	Normal
3	Maine pahle message Nahin pahle Mujhe yahan se...	Normal
4	yah chal kya raha hai	Normal

Step6: Making CSV for Transcription

frames = [Transcription_file_toxic,Transcription_file_normal]
result = pd.concat(frames)
result.to_csv(r'transcripted_data.csv', index = False, header=True)
result

	Transcription	Type
0	kya bolun Main Nahin matlab kya bulwana kya ch...	Toxic
1	Tumne to Mujhe Pagal samjha hai ki main tumhar...	Toxic
2	Kasur Tera nahin tum University jagna mummy da...	Toxic
3	mujhe nahin Pata Tha ki tum meri feelings ke s...	Toxic
4	Rajasthan Rajasthan to bada Calcutta Jayegi De...	Toxic
0	Mujhe include Na Karo Aisa Kuchh Bhi Nahin Hai...	Normal
1	annual party to December Mein Nahin Hoti abhi ...	Normal
2	aap to participate kar	Normal
3	Maine pahle message Nahin pahle Mujhe yahan se...	Normal
4	yah chal kya raha hai	Normal